Full Time
Location: Calgary, ABVacancy Status: New Role

The Opportunity

We are seeking an Investment Research Engineer that will work directly with portfolio managers, analysts, data professionals, and technology partners to improve processes through practical, well-designed technology. This role requires a builder's mindset to understand the problem, structure the data, define the business logic, prototype the solution, improve the user experience, and help drive adoption. This role sits at the intersection of investment research, technology, data, and AI and will work closely with stakeholders to turn ambiguous investment problems into useful tools and scalable workflows.

Duties and Responsibilities

• Work with investment professionals to understand research workflows, analytical needs, and decision-making processes
• Translate investment research problems into structured data, business logic, prototypes, and practical tools
• Build and improve solutions that support screening, idea generation, company research, valuation, portfolio monitoring, risk review, and decision tracking
• Use AI-assisted development tools, Python, SQL, analytics platforms, and modern application frameworks to create useful research products
• Help design data structures that make investment information more reusable, consistent, and scalable
• Develop front-end workflows and user experiences that make tools intuitive for busy investment professionals
• Partner with internal Data, Business Technology, and AI teams to ensure solutions are maintainable and aligned with firm standards
• Gather feedback, communicate clearly, and earn stakeholder buy-in
• Take promising prototypes and turn them into repeatable capabilities for the broader Investment team
• Build tools and workflows that can be adopted by real users
• Work with the Research Lab to scale ideas from individual prototypes into durable firm capabilities

Desired Qualifications

• Bachelor's degree in finance, economics, computer science, engineering, mathematics, data science, business, or a related field
• Approximately 2-5 years of relevant experience preferred
• Working knowledge of Python, SQL, data analysis, or application development is an asset
• Exposure to investment research, financial statements, valuation, portfolio analytics, or capital markets is helpful
• Experience with AI tools, data platforms, dashboards, APIs, or full-stack development is helpful but not required
• Experience in investment management, equity research, financial analysis, data analytics, financial technology, or software/data engineerin
• Strong communication and problem-solving skills, with the ability to work independently and collaboratively in high-performance teams
• Experience in fast-paced, agile environments-comfortable with rapid experimentation, iteration, and problem-solving
• Are genuinely interested in investing, business analysis, and how investment decisions are made
• Enjoy building things and are comfortable learning new technical tools
• Can move between business conversations and technical implementation
• Able to use or learn tools such as Python, SQL, Power BI, APIs, AI coding assistants, and modern web/application frameworks
• Care about user experience and building tools that people actually use

Our Benefits and Perks Include:

• Comprehensive health and wellness benefits
• Unlimited vacation days
• Retirement planning assistance, including RSP contributions
• Annual learning stipend
• Parental leave top-up
• Significant community investment contribution via our Employee Matching Program

To apply, please submit your resume, cover letter, and application by July 24, 2026, to: https://www.mawer.com/careers/

All candidates must be eligible to work in Canada.

We believe experience comes in many forms and we're committed to adding new perspectives to our team. If your experience is close to what we've outlined, we encourage you to apply.

At Mawer, we are committed to fostering a culture of diversity and inclusion. We strive to attract, hire, develop, and retain the best people from a wide variety of backgrounds/experiences and create an environment where unique ideas and perspectives are heard and valued. We believe a diverse and inclusive culture fuels innovation and enables more effective decision-making across the firm, helping to improve investment performance, strengthen client partnerships, and create more value for all stakeholders: clients, employees, owners, and society.

Our processes are people-driven. We may use technology for scheduling, communication and screening but we do not use AI for candidate assessment, or selection; those decisions are made by our team.

No telephone inquiries please.

We thank all applicants and advise that only those selected for an interview will be contacted.